We are looking for a motivated and technically solid L1 Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining the data architecture and infrastructure that supports our organization’s data strategy.
Requirements
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics use cases.
- Build and optimize data ingestion processes using Azure Data Factory and Databricks, ensuring data quality and consistency across all layers of the data platform.
- Transform and process large datasets using PySpark and Python, applying best practices for performance and maintainability.
- Write and optimize complex SQL queries to support analytical reporting and data validation requirements.
- Collaborate with data architects and senior engineers to implement and maintain data models aligned with organizational standards.
- Monitor, troubleshoot, and resolve pipeline failures and data quality issues, applying root-cause analysis to prevent recurrence.
- Contribute to documentation of data pipelines, data dictionaries, and engineering standards.
- Support the team in exploring and evaluating new tools and approaches to continuously improve the data infrastructure.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
To apply for this job please visit jobs.workable.com.
Follow us on social media